Jinseong Jang

763 total citations · 1 hit paper
17 papers, 495 citations indexed

About

Jinseong Jang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jinseong Jang has authored 17 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Jinseong Jang's work include Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (3 papers) and Image Enhancement Techniques (3 papers). Jinseong Jang is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (3 papers) and Image Enhancement Techniques (3 papers). Jinseong Jang collaborates with scholars based in South Korea, United States and France. Jinseong Jang's co-authors include Dosik Hwang, Taeseong Kim, Taejoon Eo, Yohan Jun, Ho‐Joon Lee, Jin Keun Seo, Sarah A. Rajala, Young Han Lee, Dongmin Kim and Kwang Nam Jin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Jinseong Jang

16 papers receiving 489 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

2018 304 citations Taejoon Eo, Yohan Jun et al. Magnetic Resonance in Medicine profile →

Peers

Countries citing papers authored by Jinseong Jang

Since Specialization

Citations

This map shows the geographic impact of Jinseong Jang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinseong Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinseong Jang more than expected).

Fields of papers citing papers by Jinseong Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinseong Jang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinseong Jang. The network helps show where Jinseong Jang may publish in the future.

Co-authorship network of co-authors of Jinseong Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinseong Jang. A scholar is included among the top collaborators of Jinseong Jang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinseong Jang. Jinseong Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

#	Work	Indexed citations
1	VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks 2025 ·Jinseong Jang, (unknown), (unknown)	0
2	Evidence-Empowered Transfer Learning for Alzheimer’s Disease 2023 ·(unknown), Hana Kim, (unknown), Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo	3
3	Fully automatic quantification of transient severe respiratory motion artifact of gadoxetate disodium–enhanced MRI during arterial phase 2022 ·Medical Physics ·Jinseong Jang, Yong Eun Chung, Sung‐Won Kim, Dosik Hwang	1
4	M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Jinseong Jang, Dosik Hwang	74
5	Diagnostic performance of artificial intelligence model for pneumonia from chest radiography 2021 ·PLoS ONE ·Taewoo Kwon, Sang Pyo Lee, Dongmin Kim, Jinseong Jang, Myung-Jae Lee, (unknown), Hee Jin Kim, (unknown), (unknown), Young Jae Kim, (unknown), Kwang Nam Jin, Eun Young Kim, Kwang Gi Kim	15
6	Deep‐learned short tau inversion recovery imaging using multi‐contrast MR images 2020 ·Magnetic Resonance in Medicine ·(unknown), (unknown), Jinseong Jang, Young Han Lee, Dosik Hwang	12
7	Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation 2020 ·IEEE Access ·(unknown), (unknown), Jinseong Jang, Dosik Hwang	14
8	Supratentorial Cerebral Arterial Territories for Computed Tomograms: A Mapping Study in 1160 Large Artery Infarcts 2019 ·Scientific Reports ·Dong‐Eog Kim, Jinseong Jang, Dawid Schellingerhout, Wi‐Sun Ryu, Jong‐Ho Park, (unknown), Dongmin Kim, Hee‐Joon Bae	7
9	Study on discrimination of Alzheimer’s disease states using an ensemble neural network’s model 2019 ·(unknown), (unknown), (unknown), Jinseong Jang, Dosik Hwang	1
10	Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System 2018 ·IEEE Access ·(unknown), (unknown), Jinseong Jang, Dosik Hwang	7
11	No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features 2018 ·Applied Sciences ·Jinseong Jang, (unknown), Taejoon Eo, (unknown), Dosik Hwang	2
12	Quality evaluation of no‐reference MR images using multidirectional filters and image statistics 2018 ·Magnetic Resonance in Medicine ·Jinseong Jang, (unknown), (unknown), Dosik Hwang, (unknown)	19
13	KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images breakdown → 2018 ·Magnetic Resonance in Medicine ·Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho‐Joon Lee, Dosik Hwang	304
14	Detection of admittivity anomaly on high-contrast heterogeneous backgrounds using frequency difference EIT 2015 ·Physiological Measurement ·Jinseong Jang, Jin Keun Seo	20
15	Medical image matching using variable randomized undersampling probability pattern in data acquisition 2014 ·Jinseong Jang, (unknown), (unknown), (unknown), (unknown), Dong‐Hyun Kim, Dosik Hwang	7
16	Segmentation based image coding using fractals and the human visual system 2002 ·International Conference on Acoustics, Speech, and Signal Processing ·Jinseong Jang, Sarah A. Rajala	5
17	Texture segmentation-based image coder incorporating properties of the human visual system 1991 ·Jinseong Jang, Sarah A. Rajala	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact